{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["victim", "place", "attack pattern", "number of data", "attacker", "purpose", "time", "number of victim", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["time", "issues addressed", "vulnerable system", "vulnerability", "common vulnerabilities and exposures", "patch number", "releaser"]}, {"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "attacker", "purpose", "place", "victim", "time", "attack pattern", "tool", "trusted entity"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "vulnerable system version", "time", "supported platform", "discoverer", "capabilities", "vulnerable system"]}], "input": "The scam email includes an attachment labeled “ Tax Account Transcript ” or something similar , with the subject line often including “ tax transcript . ”"}
{"data breach": [], "patch vulnerability": [], "phishing": [{"trigger": "labeled", "arguments": {"damage amount": "NAN", "attacker": "NAN", "purpose": "NAN", "place": "NAN", "victim": "NAN", "time": "NAN", "attack pattern": "NAN", "tool": "The scam email", "trusted entity": ["tax transcript", "Tax Account Transcript"]}}], "discover vulnerability": []}